The internet is full of videos of thoughtful people setting things on fire. Here’s a perennial favorite: Cleave a grape in half, leaving a little skin connecting the two hemispheres. Blitz it in the microwave for five seconds. For one glorious moment, the grape halves will produce a fireball unfit for domestic life.

Tomi Masters was a 23-year-old from Indiana who moved to California with dreams of making it big in the cannabis business. Then she met a hacker who introduced her to a dark new world of digital manipulation, suspicion, paranoia, and fear — one that swallowed her alive and left her floating in a river in the Philippines.

Most.js is a toolkit for reactive programming. It helps you compose asynchronous operations on streams of values and events, e.g. WebSocket messages, DOM events, etc, and on time-varying values, e.g. the "current value" of an <input>, without many of the hazards of side effects and mutable shared state.

Pantheon is a project from the Macro Connections group at The MIT Media Lab. We are a team of designers, engineers, and scientists working collaboratively to quantify, analyze, measure and visualize global culture.

Gradient-based methods are becoming increasingly important for computer graphics, machine learning, and computer vision. The ability to compute gradients is crucial to optimization, inverse problems, and deep learning. In rendering, the gradient is required with respect to variables such as camera parameters, light sources, scene geometry, or material appearance. However, computing the gradient of rendering is challenging because the rendering integral includes visibility terms that are not differentiable. Previous work on differentiable rendering has focused on approximate solutions. They often do not handle secondary effects such as shadows or global illumination, or they do not provide the gradient with respect to variables other than pixel coordinates.

We introduce a general-purpose differentiable ray tracer, which, to our knowledge, is the first comprehensive solution that is able to compute derivatives of scalar functions over a rendered image with respect to arbitrary scene parameters such as camera pose, scene geometry, materials, and lighting parameters. The key to our method is a novel edge sampling algorithm that directly samples the Dirac delta functions introduced by the derivatives of the discontinuous integrand. We also develop efficient importance sampling methods based on spatial hierarchies. Our method can generate gradients in times running from seconds to minutes depending on scene complexity and desired precision.

The web app manifest is a simple JSON file that tells the browser about your web application and how it should behave when 'installed' on the user's mobile device or desktop. Having a manifest is required by Chrome to show the Add to Home Screen prompt.

Émile Baudot’
sp
rinting tele
graph w
as the first widely adopted de
vice to encode letters, numbers, and symbols as
uniform-length binary sequences.
Donald Murray introduced a second successful code of this type, the details of
which continued to e
volveu
ntil v
ersions of Baudot’
sa
nd Murray’
sc
odes were standardized as International T
ele-
graph Alphabets No. 1 and No. 2, respecti
vely.T
hese codes were used for decades before the appearance of com-
puters and the changing needs of communications required the design and standardization of a ne
wc
ode. Y
ears of
debate and compromise resulted in the ECMA-6 standard in Europe, the ASCII standard in the United States, and
the ISO 646 and International Alphabet No. 5 standards internationally.

As a developer, you have the power to change the world! You can write programs that enable new technologies. For instance, You might work in software to find an earlier diagnosis of diseases. Also, you might write programs to free up people’s time to do other amazing things. Whatever you do it has the potential to impact those people who use it.

Over the last 50 years, our world has turned digital at breakneck speed. No art form has captured this transitional time period - our time period - better than generative art. Generative art takes full advantage of everything that computing has to offer, producing elegant and compelling artworks that extend the same principles and goals artists have pursued from the inception of modern art.